Spaces:
Running
Running
James McCool
commited on
Commit
·
36430a1
1
Parent(s):
9a0fceb
Update 'Stack Finder' tab to 'Info and Filters', add 'Run Stack Analysis' button, and streamline combination generation logic for player selection in Streamlit app
Browse files- src/streamlit_app.py +221 -220
src/streamlit_app.py
CHANGED
|
@@ -145,7 +145,7 @@ selected_tab = st.segmented_control(
|
|
| 145 |
)
|
| 146 |
|
| 147 |
if selected_tab == 'Stack Finder':
|
| 148 |
-
with st.expander("
|
| 149 |
app_info_column, slate_choice_column, filtering_column, stack_info_column = st.columns(4)
|
| 150 |
with app_info_column:
|
| 151 |
if st.button("Load/Reset Data", key='reset1'):
|
|
@@ -208,232 +208,233 @@ if selected_tab == 'Stack Finder':
|
|
| 208 |
own_dict = dict(zip(raw_baselines.Player, raw_baselines.Own))
|
| 209 |
cost_dict = dict(zip(raw_baselines.Player, raw_baselines.Salary))
|
| 210 |
qb_dict = dict(zip(qb_lookup.Team, qb_lookup.Player))
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 211 |
|
| 212 |
-
|
| 213 |
-
|
| 214 |
-
|
| 215 |
-
|
| 216 |
-
|
| 217 |
-
|
| 218 |
-
|
| 219 |
-
|
| 220 |
-
#
|
| 221 |
-
|
| 222 |
-
max_salary = max_sal2
|
| 223 |
-
max_players = 9
|
| 224 |
-
else:
|
| 225 |
-
position_limits = {
|
| 226 |
-
'QB': 1,
|
| 227 |
-
'RB': 2,
|
| 228 |
-
'WR': 3,
|
| 229 |
-
'TE': 1,
|
| 230 |
-
'UTIL': 1,
|
| 231 |
-
'DST': 1,
|
| 232 |
-
# Add more as needed
|
| 233 |
-
}
|
| 234 |
-
max_salary = max_sal2
|
| 235 |
-
max_players = 9
|
| 236 |
-
|
| 237 |
-
stack_hold_container = st.empty()
|
| 238 |
-
comb_list = []
|
| 239 |
-
raw_baselines = raw_baselines[raw_baselines['Position'].str.contains('|'.join(pos_var2 + ['QB']))]
|
| 240 |
-
|
| 241 |
-
# Create a position dictionary mapping players to their eligible positions
|
| 242 |
-
pos_dict = dict(zip(raw_baselines.Player, raw_baselines.Position))
|
| 243 |
-
|
| 244 |
-
def is_valid_combination(combo):
|
| 245 |
-
# Count positions in this combination
|
| 246 |
-
position_counts = {pos: 0 for pos in position_limits.keys()}
|
| 247 |
-
|
| 248 |
-
# For each player in the combination
|
| 249 |
-
for player in combo:
|
| 250 |
-
# Get their eligible positions
|
| 251 |
-
player_positions = pos_dict[player].split('/')
|
| 252 |
|
| 253 |
-
# For each
|
| 254 |
-
for
|
| 255 |
-
|
| 256 |
-
|
| 257 |
-
|
| 258 |
-
|
| 259 |
-
|
| 260 |
-
|
| 261 |
-
|
| 262 |
-
|
| 263 |
-
|
| 264 |
-
|
| 265 |
-
|
| 266 |
-
|
| 267 |
-
|
| 268 |
-
|
| 269 |
-
|
| 270 |
-
|
| 271 |
-
|
| 272 |
-
|
| 273 |
-
|
| 274 |
-
|
| 275 |
-
|
| 276 |
-
|
| 277 |
-
|
| 278 |
-
|
| 279 |
-
|
| 280 |
-
|
| 281 |
-
|
| 282 |
-
|
| 283 |
-
|
| 284 |
-
|
| 285 |
-
|
| 286 |
-
|
| 287 |
-
|
| 288 |
-
|
| 289 |
-
|
| 290 |
-
|
| 291 |
-
|
| 292 |
-
|
| 293 |
-
comb_DF
|
| 294 |
-
|
| 295 |
-
|
| 296 |
-
|
| 297 |
-
|
| 298 |
-
|
| 299 |
-
|
| 300 |
-
|
| 301 |
-
|
| 302 |
-
|
| 303 |
-
|
| 304 |
-
|
| 305 |
-
|
| 306 |
-
|
| 307 |
-
|
| 308 |
-
|
| 309 |
-
|
| 310 |
-
|
| 311 |
-
|
| 312 |
-
|
| 313 |
-
|
| 314 |
-
|
| 315 |
-
|
| 316 |
-
|
| 317 |
-
|
| 318 |
-
|
| 319 |
-
|
| 320 |
-
|
| 321 |
-
|
| 322 |
-
|
| 323 |
-
|
| 324 |
-
|
| 325 |
-
|
| 326 |
-
|
| 327 |
-
|
| 328 |
-
|
| 329 |
-
|
| 330 |
-
|
| 331 |
-
|
| 332 |
-
|
| 333 |
-
|
| 334 |
-
|
| 335 |
-
|
| 336 |
-
|
| 337 |
-
|
| 338 |
-
|
| 339 |
-
|
| 340 |
-
|
| 341 |
-
|
| 342 |
-
|
| 343 |
-
|
| 344 |
-
|
| 345 |
-
|
| 346 |
-
|
| 347 |
-
|
| 348 |
-
|
| 349 |
-
|
| 350 |
-
|
| 351 |
-
|
| 352 |
-
|
| 353 |
-
|
| 354 |
-
|
| 355 |
-
if
|
| 356 |
-
|
| 357 |
-
cur_own = cur_own
|
| 358 |
-
cut_var = cut_var - 1
|
| 359 |
-
comb_DF = comb_DF.reset_index()
|
| 360 |
-
comb_DF = comb_DF.drop(['index'], axis=1)
|
| 361 |
-
elif check_own <= cur_own:
|
| 362 |
cur_own = float(comb_DF.iat[cut_var, 5])
|
| 363 |
-
|
| 364 |
-
|
| 365 |
-
|
| 366 |
-
|
| 367 |
-
|
| 368 |
-
|
| 369 |
-
|
| 370 |
-
|
| 371 |
-
|
| 372 |
-
|
| 373 |
-
|
| 374 |
-
|
| 375 |
-
|
| 376 |
-
|
| 377 |
-
|
| 378 |
-
|
| 379 |
-
|
| 380 |
-
|
| 381 |
-
|
| 382 |
cur_own = float(comb_DF.iat[cut_var,6])
|
| 383 |
-
|
| 384 |
-
|
| 385 |
-
|
| 386 |
-
|
| 387 |
-
|
| 388 |
-
|
| 389 |
-
|
| 390 |
-
|
| 391 |
-
|
| 392 |
-
|
| 393 |
-
|
| 394 |
-
|
| 395 |
-
|
| 396 |
-
|
| 397 |
-
|
| 398 |
-
|
| 399 |
-
|
| 400 |
-
|
| 401 |
-
|
| 402 |
cur_own = float(comb_DF.iat[cut_var,7])
|
| 403 |
-
|
| 404 |
-
|
| 405 |
-
|
| 406 |
-
|
| 407 |
-
|
| 408 |
-
|
| 409 |
-
|
| 410 |
-
|
| 411 |
-
|
| 412 |
-
|
| 413 |
-
|
| 414 |
-
|
| 415 |
-
|
| 416 |
-
|
| 417 |
-
|
| 418 |
-
|
| 419 |
-
|
| 420 |
-
|
| 421 |
-
|
| 422 |
cur_own = float(comb_DF.iat[cut_var,8])
|
| 423 |
-
|
| 424 |
-
|
| 425 |
-
|
| 426 |
-
|
| 427 |
-
|
| 428 |
-
|
| 429 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 430 |
st.dataframe(st.session_state['display_frame'].style.background_gradient(axis=0).background_gradient(cmap='RdYlGn').format(precision=2), hide_index=True, use_container_width = True)
|
| 431 |
-
|
| 432 |
-
|
| 433 |
-
|
| 434 |
-
|
| 435 |
-
|
| 436 |
-
|
|
|
|
|
|
|
| 437 |
|
| 438 |
if selected_tab == 'User Upload':
|
| 439 |
st.info("The Projections file can have any columns in any order, but must contain columns explicitly named: 'Player', 'Salary', 'Position', 'Team', 'Opp', 'Median', and 'Own'.")
|
|
|
|
| 145 |
)
|
| 146 |
|
| 147 |
if selected_tab == 'Stack Finder':
|
| 148 |
+
with st.expander("Info and Filters"):
|
| 149 |
app_info_column, slate_choice_column, filtering_column, stack_info_column = st.columns(4)
|
| 150 |
with app_info_column:
|
| 151 |
if st.button("Load/Reset Data", key='reset1'):
|
|
|
|
| 208 |
own_dict = dict(zip(raw_baselines.Player, raw_baselines.Own))
|
| 209 |
cost_dict = dict(zip(raw_baselines.Player, raw_baselines.Salary))
|
| 210 |
qb_dict = dict(zip(qb_lookup.Team, qb_lookup.Player))
|
| 211 |
+
if st.button("Run Stack Analysis", key='run_stack_analysis'):
|
| 212 |
+
if site_var == 'Draftkings':
|
| 213 |
+
position_limits = {
|
| 214 |
+
'QB': 1,
|
| 215 |
+
'RB': 2,
|
| 216 |
+
'WR': 3,
|
| 217 |
+
'TE': 1,
|
| 218 |
+
'UTIL': 1,
|
| 219 |
+
'DST': 1,
|
| 220 |
+
# Add more as needed
|
| 221 |
+
}
|
| 222 |
+
max_salary = max_sal2
|
| 223 |
+
max_players = 9
|
| 224 |
+
else:
|
| 225 |
+
position_limits = {
|
| 226 |
+
'QB': 1,
|
| 227 |
+
'RB': 2,
|
| 228 |
+
'WR': 3,
|
| 229 |
+
'TE': 1,
|
| 230 |
+
'UTIL': 1,
|
| 231 |
+
'DST': 1,
|
| 232 |
+
# Add more as needed
|
| 233 |
+
}
|
| 234 |
+
max_salary = max_sal2
|
| 235 |
+
max_players = 9
|
| 236 |
|
| 237 |
+
stack_hold_container = st.empty()
|
| 238 |
+
comb_list = []
|
| 239 |
+
raw_baselines = raw_baselines[raw_baselines['Position'].str.contains('|'.join(pos_var2 + ['QB']))]
|
| 240 |
+
|
| 241 |
+
# Create a position dictionary mapping players to their eligible positions
|
| 242 |
+
pos_dict = dict(zip(raw_baselines.Player, raw_baselines.Position))
|
| 243 |
+
|
| 244 |
+
def is_valid_combination(combo):
|
| 245 |
+
# Count positions in this combination
|
| 246 |
+
position_counts = {pos: 0 for pos in position_limits.keys()}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 247 |
|
| 248 |
+
# For each player in the combination
|
| 249 |
+
for player in combo:
|
| 250 |
+
# Get their eligible positions
|
| 251 |
+
player_positions = pos_dict[player].split('/')
|
| 252 |
+
|
| 253 |
+
# For each position they can play
|
| 254 |
+
for pos in player_positions:
|
| 255 |
+
if pos == 'UTIL':
|
| 256 |
+
# UTIL can be filled by any position
|
| 257 |
+
for p in position_counts:
|
| 258 |
+
position_counts[p] += 1
|
| 259 |
+
|
| 260 |
+
# Check if any position exceeds its limit
|
| 261 |
+
for pos, limit in position_limits.items():
|
| 262 |
+
if position_counts[pos] > limit:
|
| 263 |
+
return False
|
| 264 |
+
|
| 265 |
+
return True
|
| 266 |
+
|
| 267 |
+
# Modify the combination generation code
|
| 268 |
+
comb_list = []
|
| 269 |
+
for cur_team in team_var2:
|
| 270 |
+
working_baselines = raw_baselines
|
| 271 |
+
working_baselines = working_baselines[working_baselines['Team'] == cur_team]
|
| 272 |
+
working_baselines = working_baselines[working_baselines['Position'] != 'DST']
|
| 273 |
+
working_baselines = working_baselines[working_baselines['Position'] != 'K']
|
| 274 |
+
qb_var = qb_dict[cur_team]
|
| 275 |
+
order_list = working_baselines['Player']
|
| 276 |
+
|
| 277 |
+
comb = combinations(order_list, stack_size)
|
| 278 |
+
|
| 279 |
+
for i in list(comb):
|
| 280 |
+
if qb_var in i:
|
| 281 |
+
comb_list.append(i)
|
| 282 |
+
|
| 283 |
+
# Only add combinations that satisfy position limits
|
| 284 |
+
for i in list(comb):
|
| 285 |
+
if is_valid_combination(i):
|
| 286 |
+
comb_list.append(i)
|
| 287 |
+
|
| 288 |
+
comb_DF = pd.DataFrame(comb_list)
|
| 289 |
+
|
| 290 |
+
if stack_size == 3:
|
| 291 |
+
comb_DF['Team'] = comb_DF[0].map(team_dict)
|
| 292 |
+
|
| 293 |
+
comb_DF['Proj'] = sum([comb_DF[0].map(proj_dict),
|
| 294 |
+
comb_DF[1].map(proj_dict),
|
| 295 |
+
comb_DF[2].map(proj_dict)])
|
| 296 |
+
|
| 297 |
+
comb_DF['Salary'] = sum([comb_DF[0].map(cost_dict),
|
| 298 |
+
comb_DF[1].map(cost_dict),
|
| 299 |
+
comb_DF[2].map(cost_dict)])
|
| 300 |
+
|
| 301 |
+
comb_DF['Own%'] = sum([comb_DF[0].map(own_dict),
|
| 302 |
+
comb_DF[1].map(own_dict),
|
| 303 |
+
comb_DF[2].map(own_dict)])
|
| 304 |
+
elif stack_size == 4:
|
| 305 |
+
comb_DF['Team'] = comb_DF[0].map(team_dict)
|
| 306 |
+
|
| 307 |
+
comb_DF['Proj'] = sum([comb_DF[0].map(proj_dict),
|
| 308 |
+
comb_DF[1].map(proj_dict),
|
| 309 |
+
comb_DF[2].map(proj_dict),
|
| 310 |
+
comb_DF[3].map(proj_dict)])
|
| 311 |
+
|
| 312 |
+
comb_DF['Salary'] = sum([comb_DF[0].map(cost_dict),
|
| 313 |
+
comb_DF[1].map(cost_dict),
|
| 314 |
+
comb_DF[2].map(cost_dict),
|
| 315 |
+
comb_DF[3].map(cost_dict)])
|
| 316 |
+
|
| 317 |
+
comb_DF['Own%'] = sum([comb_DF[0].map(own_dict),
|
| 318 |
+
comb_DF[1].map(own_dict),
|
| 319 |
+
comb_DF[2].map(own_dict),
|
| 320 |
+
comb_DF[3].map(own_dict)])
|
| 321 |
+
elif stack_size == 5:
|
| 322 |
+
comb_DF['Team'] = comb_DF[0].map(team_dict)
|
| 323 |
+
|
| 324 |
+
comb_DF['Proj'] = sum([comb_DF[0].map(proj_dict),
|
| 325 |
+
comb_DF[1].map(proj_dict),
|
| 326 |
+
comb_DF[2].map(proj_dict),
|
| 327 |
+
comb_DF[3].map(proj_dict),
|
| 328 |
+
comb_DF[4].map(proj_dict)])
|
| 329 |
+
|
| 330 |
+
comb_DF['Salary'] = sum([comb_DF[0].map(cost_dict),
|
| 331 |
+
comb_DF[1].map(cost_dict),
|
| 332 |
+
comb_DF[2].map(cost_dict),
|
| 333 |
+
comb_DF[3].map(cost_dict),
|
| 334 |
+
comb_DF[4].map(cost_dict)])
|
| 335 |
+
|
| 336 |
+
comb_DF['Own%'] = sum([comb_DF[0].map(own_dict),
|
| 337 |
+
comb_DF[1].map(own_dict),
|
| 338 |
+
comb_DF[2].map(own_dict),
|
| 339 |
+
comb_DF[3].map(own_dict),
|
| 340 |
+
comb_DF[4].map(own_dict)])
|
| 341 |
+
|
| 342 |
+
comb_DF = comb_DF.sort_values(by='Proj', ascending=False)
|
| 343 |
+
comb_DF = comb_DF.loc[comb_DF['Salary'] <= max_sal2]
|
| 344 |
+
|
| 345 |
+
cut_var = 0
|
| 346 |
+
|
| 347 |
+
if stack_size == 2:
|
| 348 |
+
while cut_var <= int(len(comb_DF)):
|
| 349 |
+
try:
|
| 350 |
+
if int(cut_var) == 0:
|
| 351 |
+
cur_proj = float(comb_DF.iat[cut_var, 3])
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 352 |
cur_own = float(comb_DF.iat[cut_var, 5])
|
| 353 |
+
elif int(cut_var) >= 1:
|
| 354 |
+
check_own = float(comb_DF.iat[cut_var, 5])
|
| 355 |
+
if check_own > cur_own:
|
| 356 |
+
comb_DF = comb_DF.drop([cut_var])
|
| 357 |
+
cur_own = cur_own
|
| 358 |
+
cut_var = cut_var - 1
|
| 359 |
+
comb_DF = comb_DF.reset_index()
|
| 360 |
+
comb_DF = comb_DF.drop(['index'], axis=1)
|
| 361 |
+
elif check_own <= cur_own:
|
| 362 |
+
cur_own = float(comb_DF.iat[cut_var, 5])
|
| 363 |
+
cut_var = cut_var
|
| 364 |
+
cut_var += 1
|
| 365 |
+
except:
|
| 366 |
+
cut_var += 1
|
| 367 |
+
elif stack_size == 3:
|
| 368 |
+
while cut_var <= int(len(comb_DF)):
|
| 369 |
+
try:
|
| 370 |
+
if int(cut_var) == 0:
|
| 371 |
+
cur_proj = float(comb_DF.iat[cut_var,4])
|
| 372 |
cur_own = float(comb_DF.iat[cut_var,6])
|
| 373 |
+
elif int(cut_var) >= 1:
|
| 374 |
+
check_own = float(comb_DF.iat[cut_var,6])
|
| 375 |
+
if check_own > cur_own:
|
| 376 |
+
comb_DF = comb_DF.drop([cut_var])
|
| 377 |
+
cur_own = cur_own
|
| 378 |
+
cut_var = cut_var - 1
|
| 379 |
+
comb_DF = comb_DF.reset_index()
|
| 380 |
+
comb_DF = comb_DF.drop(['index'], axis=1)
|
| 381 |
+
elif check_own <= cur_own:
|
| 382 |
+
cur_own = float(comb_DF.iat[cut_var,6])
|
| 383 |
+
cut_var = cut_var
|
| 384 |
+
cut_var += 1
|
| 385 |
+
except:
|
| 386 |
+
cut_var += 1
|
| 387 |
+
elif stack_size == 4:
|
| 388 |
+
while cut_var <= int(len(comb_DF)):
|
| 389 |
+
try:
|
| 390 |
+
if int(cut_var) == 0:
|
| 391 |
+
cur_proj = float(comb_DF.iat[cut_var,5])
|
| 392 |
cur_own = float(comb_DF.iat[cut_var,7])
|
| 393 |
+
elif int(cut_var) >= 1:
|
| 394 |
+
check_own = float(comb_DF.iat[cut_var,7])
|
| 395 |
+
if check_own > cur_own:
|
| 396 |
+
comb_DF = comb_DF.drop([cut_var])
|
| 397 |
+
cur_own = cur_own
|
| 398 |
+
cut_var = cut_var - 1
|
| 399 |
+
comb_DF = comb_DF.reset_index()
|
| 400 |
+
comb_DF = comb_DF.drop(['index'], axis=1)
|
| 401 |
+
elif check_own <= cur_own:
|
| 402 |
+
cur_own = float(comb_DF.iat[cut_var,7])
|
| 403 |
+
cut_var = cut_var
|
| 404 |
+
cut_var += 1
|
| 405 |
+
except:
|
| 406 |
+
cut_var += 1
|
| 407 |
+
elif stack_size == 5:
|
| 408 |
+
while cut_var <= int(len(comb_DF)):
|
| 409 |
+
try:
|
| 410 |
+
if int(cut_var) == 0:
|
| 411 |
+
cur_proj = float(comb_DF.iat[cut_var,6])
|
| 412 |
cur_own = float(comb_DF.iat[cut_var,8])
|
| 413 |
+
elif int(cut_var) >= 1:
|
| 414 |
+
check_own = float(comb_DF.iat[cut_var,8])
|
| 415 |
+
if check_own > cur_own:
|
| 416 |
+
comb_DF = comb_DF.drop([cut_var])
|
| 417 |
+
cur_own = cur_own
|
| 418 |
+
cut_var = cut_var - 1
|
| 419 |
+
comb_DF = comb_DF.reset_index()
|
| 420 |
+
comb_DF = comb_DF.drop(['index'], axis=1)
|
| 421 |
+
elif check_own <= cur_own:
|
| 422 |
+
cur_own = float(comb_DF.iat[cut_var,8])
|
| 423 |
+
cut_var = cut_var
|
| 424 |
+
cut_var += 1
|
| 425 |
+
except:
|
| 426 |
+
cut_var += 1
|
| 427 |
+
st.session_state['display_frame'] = comb_DF
|
| 428 |
+
if 'display_frame' in st.session_state:
|
| 429 |
st.dataframe(st.session_state['display_frame'].style.background_gradient(axis=0).background_gradient(cmap='RdYlGn').format(precision=2), hide_index=True, use_container_width = True)
|
| 430 |
+
st.download_button(
|
| 431 |
+
label="Export Tables",
|
| 432 |
+
data=convert_df_to_csv(st.session_state['display_frame']),
|
| 433 |
+
file_name='NFL_Stack_Options_export.csv',
|
| 434 |
+
mime='text/csv',
|
| 435 |
+
)
|
| 436 |
+
else:
|
| 437 |
+
st.info("When you run the stack analysis, the results will be displayed here. Open up the 'Info and Filters' tab to check the settings.")
|
| 438 |
|
| 439 |
if selected_tab == 'User Upload':
|
| 440 |
st.info("The Projections file can have any columns in any order, but must contain columns explicitly named: 'Player', 'Salary', 'Position', 'Team', 'Opp', 'Median', and 'Own'.")
|